An underwater precision fish counting framework using transformer with feature offset aggregation and occlusion-aware attention in aquaculture
A novel deep learning framework designed to enhance the accuracy and robustness of fish counting, termed OGLA-Net is proposed and systematically evaluated across three datasets, demonstrating that the proposed counting framework delivers high accuracy across diverse conditions, providing a reliable solution for automat...